Search Results

Abstract:
Many datasets use experts to code latent quantities of interest. However, scholars have not explored either the factors affecting expert reliability or the degree to which these factors influence estimates of latent concepts. Here we systematically analyze potential correlates of expert reliability using six randomly selected variables from a cross-national panel dataset, V-Dem v8. The V-Dem project includes a diverse group of over 3,000 experts and uses an IRT model to incorporate variation in both expert reliability and scale perception into its data aggregation process. In the process, the IRT model produces an estimate of expert reliability, which affects the relative contribution of an expert to the model. We examine a variety of factors that could correlate with reliability, and find little evidence of theoretically-untenable bias due to expert characteristics. On the other hand, there is evidence that attentive and condent experts who have a basic contextual knowledge of the concept of democracy are more reliable.

Abstract:
Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, allow researchers to estimate a broad set of causal quantities, including contemporaneous and lagged treatment effects. Unfortunately, popular methods for TSCS data can only produce valid inferences for lagged effects under very strong assumptions. In this paper, we use potential outcomes to define causal quantities of interest in this settings and clarify how standard models like the autoregressive distributed lag model can produce biased estimates of these quantities due to post-treatment conditioning. We then describe two estimation strategies that avoid these post-treatment biases—inverse probability weighting and structural nested mean models—and show via simulations that they can outperform standard approaches in small sample settings. We illustrate these methods in a study of how welfare spending affects terrorism.

Abstract:
The study of popular support for authoritarian regimes, and the comparative study of political attitudes, has long relied on the assumption that survey respondents provide truthful answers on surveys. However, when measuring regime support in closed political systems there is a distinct risk that individuals are less than forthright due to fear that their opinions may be made known to the public or the authorities. In order to test this assumption, we conducted a novel web-based survey in China in which we included four list experiments of commonly used items in the comparative literature on regime support. We find systematic bias for all four measures as a result of selfcensorship; substantially more individuals state that they support the regime with direct questioning than do when presented with our anonymous, indirect list experiments. The level of self-censorship, which ranges from 16 to 22 percentage points, is considerably higher than previously thought. Selfcensorship is further most prevalent among the wealthy, urban, female and younger respondents. These findings indicate that prior studies that have found high levels of support for the Chinese regime using these particular measures likely overestimate the true level of support. Further, crossnational studies which compare popular support across regime type may be systematically biased if responses are not subject to the same level of falsification across regime types.

Abstract:
The Historical Varieties of Democracy Dataset (Historical V-Dem) is a new dataset containing about 260 indicators, both factual and evaluative, describing various aspects of political regimes and state institutions. The dataset covers 91 polities globally – including most large, sovereign states, as well as some semi-sovereign entities and large colonies – from 1789 to 1920 for many cases. The majority of the indicators are also included in the Varieties of Democracy dataset, which covers the period from 1900 to the present – and together these two datasets cover the bulk of “modern history”. Historical V-Dem also includes several new indicators, covering features that are pertinent for 19thcentury polities. We describe the data, the process of coding, and the different strategies employed in Historical V-Dem to cope with issues of reliability and validity and ensure inter-temporal- and cross-country comparability. To illustrate the potential uses of the dataset we provide a descriptive account of patterns of democratization in the “long 19th century.” Finally, we perform an empirical investigation of how inter-state war relates to subsequent democratization.

Abstract:
The democratic peace is one of the most robust findings in international relations. Yet it suffers from two important limitations. First, even those who fully embrace the democratic peace have difficulty precisely identifying which facet of democracy drives the result. Second, the vast majority of studies have relied on a single measure of democracy – the Polity index. This paper reassesses interstate conflict on several new measures of democracy and their disaggregated components from the Varieties of Democracy project in a global sample of 173 countries from 1900–2010 (www.v-dem.net). We theorize three distinct mechanisms of constraint that may explain why some countries do not engage in military conflict with each other: formal vertical (e.g. elections), informal vertical (e.g. civil society activism), and horizontal accountability (e.g. interbranch constraint on the executive). We find that the formal vertical channels of accountability provided by elections are not as crucial as horizontal constraint and the informal vertical accountability provided by a strong civil society.

Abstract:
Sometimes the normal course of events is disrupted by a particularly swift and profound change. Historians have often referred to such changes as "revolutions" and, though they have identied many of them, they have rarely supported their claims with statistical evidence. Here we present a method to identify revolutions based on a measure of the multivariate rate of change called Foote Novelty. We dene revolutions as those periods of time when the value of this measure, F, can, by a non-parametric test, be shown to be signicantly greater than the background rate. Our method also identies conservative periods when the rate of change is unusually low. Importantly, our method permits searching for revolutions over any time scale that the data permit. We apply it to several quantitative data sets that capture long-term political, social and cultural changes and, in some of them, identify revolutions, both well known and not. Our method is a general one that can be applied to any phenomenon captured by multivariate time series data of sufficient quality.

Abstract:
We report three findings. First, using evidence from chain bankruptcies and data on 12 million to 18 million establishments per year, we show that large retailers produce significant positive spillovers. Second, local governments respond to the size of these externalities. When a town’s boundaries allow it to capture a larger share of retail spillovers, it is more likely to offer retail subsidies. Third, these subsidies partially crowd out private sector mechanisms that also subsidize large retailers, such as shopping malls. These facts provide powerful evidence of the Coase theorem at work and highlight a concern for local development policies even when externalities can be targeted.

Abstract:
The opening of the Arctic Ocean and the forces of globalization it will unleash pose both pressing challenges and exciting opportunities for the largest and most autonomous of the Arctic regions, the North American Arctic (NAA) — Greenland, Nunavut, the Northwest Territories, Yukon and Alaska. However, a broad pan-Arctic cooperation is not always the best approach to address these issues; neither are international interests always well aligned with the priorities of Northerners.

Institution:
Italian Institute for International Political Studies (ISPI)

Abstract:
Under the pressure of the new US administration’s aggressive rhetoric, 2017 has revealed that traditional dynamics among great powers are back in the international context of the XXI century. Contrary to the most optimistic predictions and discourses of the early post-Cold War period, the “game of big powers” is regaining centre stage. This is mainly due to three intertwined processes: the growth and renewed assertiveness of potential United States’ global competitors such as Russia and China; the enduring crisis of multilateralism and global co-existence; and even more, the breakdown of the regional order into increasingly autonomous arenas, where regional powers are on the rise.
The ISPI 2018 Report reflects upon this change, only partly offset by positive news coming from the global economy over the past year. The first part of the volume focuses on the global context; the second investigates the role Europe can play in a “world of big powers”; the last part addresses Italian foreign policy.

Abstract:
The United States government under President Trump recently announced the withdrawal of monetary aid to the United Nations Relief and Works Agency, commonly referred to as UNRWA. This is a major blow to UNRWA’s finances considering the United States’ yearly contribution’s amounted to one-third of their budget. Since UNRWA’s founding it has been a leading force providing support of Palestinian refugees across the Middle East region mainly providing education and emergency medical assistance.